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in several tasks within the project’s work plan, including: - Development of deep learning models (e.g., convolutional neural networks and vision transformers); - Presentation of results at consortium
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of Things (IoT) technologies, communications networks (5G and 6G), infrastructures (Cloud and Edge Computing), Big Data platforms and analytical data processing, to a range of sectors in the industry and
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spectroscopy to derive actionable “design rules” for room-temperature polar materials based on lanthanide coordination complexes and intramolecular charge-transfer (ICT) molecular crystals. Gas-phase and
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tests and validating numerical models. Participation in projects involving hydrogen injection and blending in high-pressure natural gas networks, will be valued. I.II - Ineligible candidates: Candidates
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for the analysis of complex experimental data; • Development and implementation of strategies for multiomics data integration and systems biology; • Use of Python and R for statistical analysis, machine learning
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type-I collagen-coated membranes. Finally, in vivo studies will evaluate retinal vascular barrier function, vessel size, and branching complexity in wild-type and Ndr2 knockout mice, under both control
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to be achieved: The CiNTech project is a multidisciplinary consortium focused on Innovation, Translation and Industrialization of Complex Injectables, led by Bluepharma. It gathers Pharmaceutical
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Plan / Goals to be achieved: The CiNTech project is a multidisciplinary consortium focused on Innovation, Translation and Industrialization of Complex Injectables, led by Bluepharma. It gathers